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4 changes: 2 additions & 2 deletions tf-agents-example/gridworld.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,9 +6,9 @@
from tf_agents.environments import tf_environment
from tf_agents.environments import tf_py_environment
from tf_agents.environments import utils
from tf_agents.specs import array_spec
from tf_agents.environments import time_step as ts
from tf_agents.environments import wrappers
from tf_agents.specs import array_spec
from tf_agents.trajectories import time_step as ts

tf.compat.v1.enable_v2_behavior()

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9 changes: 5 additions & 4 deletions tf-agents-example/simulate.py
Original file line number Diff line number Diff line change
@@ -1,20 +1,21 @@
import tensorflow as tf

from tf_agents.agents.dqn import dqn_agent
from tf_agents.agents.dqn import q_network
from tf_agents.networks import q_network
from tf_agents.drivers import dynamic_step_driver
from tf_agents.environments import tf_py_environment
from tf_agents.environments import trajectory
from tf_agents.environments import wrappers
from tf_agents.metrics import metric_utils
from tf_agents.eval import metric_utils
from tf_agents.metrics import tf_metrics
from tf_agents.policies import random_tf_policy
from tf_agents.replay_buffers import tf_uniform_replay_buffer
from tf_agents.trajectories import trajectory
from tf_agents.utils import common
from tf_agents.metrics import py_metrics
from tf_agents.metrics import tf_metrics
from tf_agents.drivers import py_driver
from tf_agents.drivers import dynamic_episode_driver
from tf_agents.utils import common

from gridworld import GridWorldEnv
import matplotlib.pyplot as plt
Expand Down Expand Up @@ -71,7 +72,7 @@ def compute_avg_return(environment, policy, num_episodes=10):
train_env.action_spec(),
q_network=q_net,
optimizer=optimizer,
td_errors_loss_fn = dqn_agent.element_wise_squared_loss,
td_errors_loss_fn = common.element_wise_squared_loss,
train_step_counter=train_step_counter)

tf_agent.initialize()
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